/**
 * Copyright 2023 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef MINDSPORE_LITE_SRC_COMMON_DRAW_ADAPTER_GRAPH_H_
#define MINDSPORE_LITE_SRC_COMMON_DRAW_ADAPTER_GRAPH_H_

#include <utility>
#include <vector>
#include <string>
#include <unordered_map>
#include "src/common/log_adapter.h"
#include "src/common/draw/graphviz_graph.h"
#include "src/tensor.h"
#include "include/errorcode.h"

namespace mindspore::lite {
class AdapterNode {
 public:
  virtual ~AdapterNode() = default;
  virtual std::string GetName() const = 0;
  virtual std::vector<Tensor *> GetInputs() const = 0;
  virtual Tensor *GetInput(const size_t &index) const = 0;
  virtual size_t InputSize() const = 0;
  virtual std::vector<Tensor *> GetOutputs() const = 0;
  virtual Tensor *GetOutput(const size_t &index) const = 0;
  virtual size_t OutputSize() const = 0;
  virtual bool IsHighlight() const { return false; }
};

class AdapterGraph {
 public:
  virtual ~AdapterGraph() = default;
  virtual std::string GetName() const = 0;
  virtual std::vector<AdapterNode *> GetNodes() const = 0;
  virtual std::vector<Tensor *> GetInputs() const = 0;
  virtual size_t InputSize() const = 0;
  virtual std::vector<Tensor *> GetOutputs() const = 0;
  virtual size_t OutputSize() const = 0;
};
}  // namespace mindspore::lite

#endif  // MINDSPORE_LITE_SRC_COMMON_DRAW_ADAPTER_GRAPH_H_
